Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use deepspringer/my_bert_model_courses_and_subjects with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepspringer/my_bert_model_courses_and_subjects with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deepspringer/my_bert_model_courses_and_subjects")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("deepspringer/my_bert_model_courses_and_subjects") model = AutoModelForSequenceClassification.from_pretrained("deepspringer/my_bert_model_courses_and_subjects") - Notebooks
- Google Colab
- Kaggle